138 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			138 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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//  By downloading, copying, installing or using the software you agree to this license.
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//  If you do not agree to this license, do not download, install,
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//  copy or use the software.
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//
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//
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//                           License Agreement
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//                For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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//    Peng Xiao, pengxiao@multicorewareinc.com
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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//   * Redistribution's of source code must retain the above copyright notice,
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//     this list of conditions and the following disclaimer.
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//
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//   * Redistribution's in binary form must reproduce the above copyright notice,
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//     this list of conditions and the following disclaimer in the documentation
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//     and/or other materials provided with the distribution.
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//
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//   * The name of the copyright holders may not be used to endorse or promote products
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//     derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_OPENCL
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////////////////////////////////////////////////////////////////////////////////
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// MatchTemplate
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#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF_NORMED))
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IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);
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#define MTEMP_SIZES testing::Values(cv::Size(128, 256), cv::Size(1024, 768))
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PARAM_TEST_CASE(MatchTemplate8U, cv::Size, TemplateSize, Channels, TemplateMethod)
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{
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    cv::Size size;
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    cv::Size templ_size;
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    int cn;
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    int method;
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    virtual void SetUp()
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    {
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        size = GET_PARAM(0);
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        templ_size = GET_PARAM(1);
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        cn = GET_PARAM(2);
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        method = GET_PARAM(3);
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    }
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};
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OCL_TEST_P(MatchTemplate8U, Accuracy)
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{
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    cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn), 0, 255);
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    cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn), 0, 255);
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    cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
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    cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
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    cv::Mat dst_gold;
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    cv::matchTemplate(image, templ, dst_gold, method);
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    cv::Mat mat_dst;
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    dst.download(mat_dst);
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    EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1);
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}
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PARAM_TEST_CASE(MatchTemplate32F, cv::Size, TemplateSize, Channels, TemplateMethod)
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{
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    cv::Size size;
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    cv::Size templ_size;
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    int cn;
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    int method;
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    virtual void SetUp()
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    {
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        size = GET_PARAM(0);
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        templ_size = GET_PARAM(1);
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        cn = GET_PARAM(2);
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        method = GET_PARAM(3);
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    }
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};
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OCL_TEST_P(MatchTemplate32F, Accuracy)
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{
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    cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn), 0, 255);
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    cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn), 0, 255);
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    cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
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    cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
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    cv::Mat dst_gold;
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    cv::matchTemplate(image, templ, dst_gold, method);
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    cv::Mat mat_dst;
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    dst.download(mat_dst);
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    EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1);
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}
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MatchTemplate8U,
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                        testing::Combine(
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                            MTEMP_SIZES,
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                            testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
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                            testing::Values(Channels(1), Channels(3), Channels(4)),
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                            ALL_TEMPLATE_METHODS
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                        )
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                       );
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MatchTemplate32F, testing::Combine(
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                            MTEMP_SIZES,
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                            testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
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                            testing::Values(Channels(1), Channels(3), Channels(4)),
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                            testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));
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#endif
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